Data Sharing

Data sharing is the governed distribution of certified data and intelligence to downstream systems, third-party applications, and operational tools — always through the semantic layer and the Data-Access Gateway, and always governed by Atlas. Built on open standards, shared data stays portable and interoperable with no vendor lock-in.

Governed distribution of data and intelligence

• Data-Access Gateway — governed programmatic access for third-party and downstream banking applications, least-privilege enforced.
• Reverse ETL — push enriched segments, scores, and decisions back into CRM, marketing, and operational tools.
• Semantic-layer distribution — one certified definition of every metric exposed consistently to all consumers.
• Marketplace ecosystem — partner and ISV solutions run governed on-platform and become callable Voir agents.

Governance of shared data

• RBAC & PII masking — least-privilege at row/column level; sensitive fields masked automatically before data leaves the platform.
• Lineage & audit — every access and distribution event is traceable end-to-end and immutably logged.

Capability summary

Capability	Components	Purpose
Data Engineering	Connect · Stream · DocuContext · Data Engineering (dbt · Spark)	Ingest & transform into governed Gold
Lakebase Postgres	DataNature Lakebase (managed Postgres, optional)	Low-latency OLTP serving for data & AI apps
Data Warehousing	Gold · Trino (MPP OLAP) · BI · Semantic Layer	Governed SQL analytics & dashboards
Data Sharing	Data-Access Gateway · Reverse ETL · Semantic Layer	Governed distribution to apps & tools

Table 1 · Data-management capabilities and the components that deliver them.